






'''simple docstring'''





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_electra import ElectraTokenizer


_UpperCamelCase						:						int  =					{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_UpperCamelCase						:						int  =					{
    'vocab_file': {
        'google/electra-small-generator': (
            'https://huggingface.co/google/electra-small-generator/resolve/main/vocab.txt'
        ),
        'google/electra-base-generator': 'https://huggingface.co/google/electra-base-generator/resolve/main/vocab.txt',
        'google/electra-large-generator': (
            'https://huggingface.co/google/electra-large-generator/resolve/main/vocab.txt'
        ),
        'google/electra-small-discriminator': (
            'https://huggingface.co/google/electra-small-discriminator/resolve/main/vocab.txt'
        ),
        'google/electra-base-discriminator': (
            'https://huggingface.co/google/electra-base-discriminator/resolve/main/vocab.txt'
        ),
        'google/electra-large-discriminator': (
            'https://huggingface.co/google/electra-large-discriminator/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'google/electra-small-generator': (
            'https://huggingface.co/google/electra-small-generator/resolve/main/tokenizer.json'
        ),
        'google/electra-base-generator': (
            'https://huggingface.co/google/electra-base-generator/resolve/main/tokenizer.json'
        ),
        'google/electra-large-generator': (
            'https://huggingface.co/google/electra-large-generator/resolve/main/tokenizer.json'
        ),
        'google/electra-small-discriminator': (
            'https://huggingface.co/google/electra-small-discriminator/resolve/main/tokenizer.json'
        ),
        'google/electra-base-discriminator': (
            'https://huggingface.co/google/electra-base-discriminator/resolve/main/tokenizer.json'
        ),
        'google/electra-large-discriminator': (
            'https://huggingface.co/google/electra-large-discriminator/resolve/main/tokenizer.json'
        ),
    },
}

_UpperCamelCase						:						str  =					{
    'google/electra-small-generator': 512,
    'google/electra-base-generator': 512,
    'google/electra-large-generator': 512,
    'google/electra-small-discriminator': 512,
    'google/electra-base-discriminator': 512,
    'google/electra-large-discriminator': 512,
}

_UpperCamelCase						:						Dict  =					{
    'google/electra-small-generator': {'do_lower_case': True},
    'google/electra-base-generator': {'do_lower_case': True},
    'google/electra-large-generator': {'do_lower_case': True},
    'google/electra-small-discriminator': {'do_lower_case': True},
    'google/electra-base-discriminator': {'do_lower_case': True},
    'google/electra-large-discriminator': {'do_lower_case': True},
}


class  snake_case__      (					UpperCamelCase):
					a_        =					VOCAB_FILES_NAMES
					a_        =					PRETRAINED_VOCAB_FILES_MAP
					a_        =					PRETRAINED_INIT_CONFIGURATION
					a_        =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					a_        =					ElectraTokenizer




					def __init__(  self  :		List[Any]				, _A  :		Optional[Any]=None				, _A  :		Union[str, Any]=None				, _A  :		int=True				, _A  :		Any="[UNK]"				, _A  :		Optional[Any]="[SEP]"				, _A  :		Optional[Any]="[PAD]"				, _A  :		Dict="[CLS]"				, _A  :		List[Any]="[MASK]"				, _A  :		List[Any]=True				, _A  :		List[str]=None				, **_A  :		List[str]				, )    ->							Any:
								super().__init__(
								    _A				, tokenizer_file=_A				, do_lower_case=_A				, unk_token=_A				, sep_token=_A				, pad_token=_A				, cls_token=_A				, mask_token=_A				, tokenize_chinese_chars=_A				, strip_accents=_A				, **_A				, )

								UpperCAmelCase_      :       str          =       json.loads(self.backend_tokenizer.normalizer.__getstate__()      )
								if (
								    normalizer_state.get('''lowercase'''				, _A      ) != do_lower_case
								    or normalizer_state.get('''strip_accents'''				, _A      ) != strip_accents
								    or normalizer_state.get('''handle_chinese_chars'''				, _A      ) != tokenize_chinese_chars
								):
											UpperCAmelCase_      :       List[str]          =       getattr(_A				, normalizer_state.pop('''type'''      )      )
											UpperCAmelCase_      :       List[str]          =       do_lower_case
											UpperCAmelCase_      :       Tuple          =       strip_accents
											UpperCAmelCase_      :       int          =       tokenize_chinese_chars
											UpperCAmelCase_      :       Tuple          =       normalizer_class(**_A      )

								UpperCAmelCase_      :       int          =       do_lower_case




					def 		A      (  self  :		str				, _A  :		Optional[int]				, _A  :		Tuple=None      )    ->							Dict:
								UpperCAmelCase_      :       Optional[int]          =       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
											output += token_ids_a + [self.sep_token_id]

								return output




					def 		A      (  self  :		str				, _A  :		List[int]				, _A  :		Optional[List[int]] = None      )    ->							List[int]:
								UpperCAmelCase_      :       List[str]          =       [self.sep_token_id]
								UpperCAmelCase_      :       Optional[int]          =       [self.cls_token_id]
								if token_ids_a is None:
											return len(cls + token_ids_a + sep      ) * [0]
								return len(cls + token_ids_a + sep      ) * [0] + len(token_ids_a + sep      ) * [1]





					def 		A      (  self  :		Optional[Any]				, _A  :		str				, _A  :		Optional[str] = None      )    ->							Tuple[str]:
								UpperCAmelCase_      :       Optional[int]          =       self._tokenizer.model.save(_A				, name=_A      )
								return tuple(_A      )










'''simple docstring'''





import argparse
import os
import re

import packaging.version


_UpperCamelCase						:						Union[str, Any]  =					'examples/'
_UpperCamelCase						:						List[str]  =					{
    'examples': (re.compile(R'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(R'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(R'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), R'\1version="VERSION",'),
    'doc': (re.compile(R'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
_UpperCamelCase						:						Optional[Any]  =					{
    'init': 'src/diffusers/__init__.py',
    'setup': 'setup.py',
}
_UpperCamelCase						:						Any  =					'README.md'
def __UpperCAmelCase   (					A					:			Optional[int]			,       A					:			List[Any]			,       A					:			Tuple		)    ->   Dict:
			with open(A			,       '''r'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						UpperCAmelCase_      :       int          =       f.read()
			UpperCAmelCase_    ,      UpperCAmelCase_      :       Union[str, Any]          =       REPLACE_PATTERNS[pattern]
			UpperCAmelCase_      :       Tuple          =       replace.replace('''VERSION'''			,       A		)
			UpperCAmelCase_      :       Tuple          =       re_pattern.sub(A			,       A		)
			with open(A			,       '''w'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						f.write(A		)
def __UpperCAmelCase   (					A					:			List[str]		)    ->   Any:
			for folder, directories, fnames in os.walk(A		):
						# Removing some of the folders with non-actively maintained examples from the walk
						if "research_projects" in directories:
									directories.remove('''research_projects'''		)
						if "legacy" in directories:
									directories.remove('''legacy'''		)
						for fname in fnames:
									if fname.endswith('''.py'''		):
												update_version_in_file(os.path.join(A			,       A		)			,       A			,       pattern='''examples'''		)
def __UpperCAmelCase   (					A					:			Tuple			,       A					:			Optional[int]=False		)    ->   Tuple:
			for pattern, fname in REPLACE_FILES.items():
						update_version_in_file(A			,       A			,       A		)
			if not patch:
						update_version_in_examples(A		)
def __UpperCAmelCase   (					)    ->   int:
			UpperCAmelCase_      :       List[str]          =       '''🤗 Transformers currently provides the following architectures'''
			UpperCAmelCase_      :       int          =       '''1. Want to contribute a new model?'''
			with open(A			,       '''r'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						UpperCAmelCase_      :       Optional[int]          =       f.readlines()

			# Find the start of the list.
			UpperCAmelCase_      :       List[str]          =       0
			while not lines[start_index].startswith(_start_prompt		):
						start_index += 1
			start_index += 1

			UpperCAmelCase_      :       Any          =       start_index
			# Update the lines in the model list.
			while not lines[index].startswith(_end_prompt		):
						if lines[index].startswith('''1.'''		):
									UpperCAmelCase_      :       Optional[Any]          =       lines[index].replace(
									    '''https://huggingface.co/docs/diffusers/main/model_doc'''			,       '''https://huggingface.co/docs/diffusers/model_doc'''			,       )
						index += 1

			with open(A			,       '''w'''			,       encoding='''utf-8'''			,       newline='''\n'''		) as f:
						f.writelines(A		)
def __UpperCAmelCase   (					)    ->   Dict:
			with open(REPLACE_FILES['''init''']			,       '''r'''		) as f:
						UpperCAmelCase_      :       Any          =       f.read()
			UpperCAmelCase_      :       Union[str, Any]          =       REPLACE_PATTERNS['''init'''][0].search(A		).groups()[0]
			return packaging.version.parse(A		)
def __UpperCAmelCase   (					A					:			str=False		)    ->   List[Any]:
			UpperCAmelCase_      :       Union[str, Any]          =       get_version()
			if patch and default_version.is_devrelease:
						raise ValueError('''Can\'t create a patch version from the dev branch, checkout a released version!'''		)
			if default_version.is_devrelease:
						UpperCAmelCase_      :       Optional[int]          =       default_version.base_version
			elif patch:
						UpperCAmelCase_      :       Any          =       F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
			else:
						UpperCAmelCase_      :       Optional[Any]          =       F"{default_version.major}.{default_version.minor + 1}.0"

			# Now let's ask nicely if that's the right one.
			UpperCAmelCase_      :       List[str]          =       input(F"Which version are you releasing? [{default_version}]"		)
			if len(A		) == 0:
						UpperCAmelCase_      :       Tuple          =       default_version

			print(F"Updating version to {version}."		)
			global_version_update(A			,       patch=A		)
def __UpperCAmelCase   (					)    ->   Optional[int]:
			UpperCAmelCase_      :       str          =       get_version()
			UpperCAmelCase_      :       Tuple          =       F"{current_version.major}.{current_version.minor + 1}.0.dev0"
			UpperCAmelCase_      :       Any          =       current_version.base_version

			# Check with the user we got that right.
			UpperCAmelCase_      :       List[Any]          =       input(F"Which version are we developing now? [{dev_version}]"		)
			if len(A		) == 0:
						UpperCAmelCase_      :       Optional[int]          =       dev_version

			print(F"Updating version to {version}."		)
			global_version_update(A		)


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
						_UpperCamelCase						:						Tuple  =					argparse.ArgumentParser()
						parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
						parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
						_UpperCamelCase						:						Optional[Any]  =					parser.parse_args()
						if not args.post_release:
												pre_release_work(patch=args.patch)
						elif args.patch:
												print('Nothing to do after a patch :-)')
						else:
												post_release_work()


